Variation of households'car ownership across time: application of a panel data model

被引:34
|
作者
Woldeamanuel, Mintesnot G. [1 ]
Cyganski, Rita [2 ]
Schulz, Angelika [2 ]
Justen, Andreas [2 ]
机构
[1] St Cloud State Univ, Dept Commun Studies, St Cloud, MN 56301 USA
[2] German Aerosp Ctr DLR, Inst Transport Res, D-12489 Berlin, Germany
关键词
Car ownership; Travel behavior; Panel data model; Germany; CAR OWNERSHIP;
D O I
10.1007/s11116-009-9210-3
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
For economic and environmental policy formulation and with the effort of creating less car dependent societies, it is important to study the changing characteristics of car ownership in a household through time as well as factors responsible of these variations. There is a vast body of literature on empirical studies of car ownership and use. These studies have investigated the socio-economic background of the decision maker, the built environment and the perception associated with owning a car as determinant factors of car ownership and use. In most cases, these analyses have been carried out using cross-sectional data sets. However, the analysis of factors determining changes in travel behavior of an individual or household requires information on their behavior over time (longitudinal data set). In this study, the German Mobility Panel (1996-2006) is used to examine variation of car ownership through time and across households. The panel data modeling results showed that there are variations of car ownership between households whereas changes in car ownership of a given household over time (within household variations) are insignificant. The influence of other factors such as the households' socio-economic background, the availability of public transportation and shopping/leisure facilities, perception on parking difficulties and satisfaction with existing public transportation services on the car owning characteristics of households is also presented and discussed in this paper.
引用
收藏
页码:371 / 387
页数:17
相关论文
共 50 条
  • [31] Time-varying individual effects in a panel data probit model with an application to female labor force participation
    Xin, Kai
    Zhang, ZhengYu
    Zhou, YaHong
    Zhu, PingFang
    [J]. ECONOMIC MODELLING, 2021, 95 : 181 - 191
  • [32] Panel data model estimation: the effect of managerial ownership, capital structure, and company size on corporate value
    Yusra, Irdha
    Hadya, Rizka
    Begawati, Nova
    Istiqomah, Lilik
    Afriyeni
    Kurniasih, Nuning
    [J]. 1ST INTERNATIONAL CONFERENCE ON ADVANCE AND SCIENTIFIC INNOVATION, 2019, 1175
  • [33] Dynamic panel fuzzy time series model and its application to econometric time series
    Dincer, Nevin Guler
    Ekici, Arzu
    [J]. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2021, 133 : 30 - 47
  • [34] A New Grey Relational Degree Model for Panel Data and Its Application
    Wu Honghua
    Deng Lixia
    Liu Hui
    [J]. 2015 34TH CHINESE CONTROL CONFERENCE (CCC), 2015, : 8878 - 8881
  • [35] Marginal Regression Model with Time-Varying Coefficients for Panel Data
    Sun, Liuquan
    Guo, Shaojun
    Chen, Min
    [J]. COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2009, 38 (08) : 1241 - 1261
  • [36] Time-discrete nonparametric hazard model using panel data
    Brecht, B
    Brecht, L
    [J]. STATISTICAL PAPERS, 1996, 37 (02) : 165 - 176
  • [37] A nonparametric time-varying coefficient model for panel count data
    Zhao, Huadong
    Tu, Wanzhu
    Yu, Zhangsheng
    [J]. JOURNAL OF NONPARAMETRIC STATISTICS, 2018, 30 (03) : 640 - 661
  • [38] Synchronization of home departure and arrival times in dual earner households with children: Panel regression model of time gaps
    Han, Bilin
    Timmermans, Harry
    [J]. JOURNAL OF TRAFFIC AND TRANSPORTATION ENGINEERING-ENGLISH EDITION, 2019, 6 (05) : 504 - 513
  • [39] Synchronization of home departure and arrival times in dual earner households with children:Panel regression model of time gaps
    Bilin Han
    Harry Timmermans
    [J]. Journal of Traffic and Transportation Engineering(English Edition), 2019, (05) : 504 - 513
  • [40] Hazard Duration Model with Panel Data for Daily Car Travel Distance: A Toyota City Case Study
    He, Jiahang
    Yamamoto, Toshiyuki
    Miwa, Tomio
    Morikawa, Takayuki
    [J]. SUSTAINABILITY, 2020, 12 (16)